MBSE Engineer - SysML v2

Micro1; India; Remote; INR 2,066,000 - 3,444,000; Full time

Job summary

Cashback24x7 is seeking an experienced MBSE professional to work remotely on a contract basis. The role focuses on translating engineering requirements into SysML v2 models, developing reference architectures, and evaluating AI-generated models for accuracy and traceability.

Ideal candidates have hands-on SysML v1 experience with exposure to SysML v2, and familiarity with MBSE methodologies. The project is remote, task-based, with flexible hours and a pilot duration of about 4 weeks to 3 months.

Qualifications

• Professional experience in systems engineering.
• Hands‑on expertise in SysML v1 and exposure to SysML v2, or SysML v2 modeling experience.
• Understanding of MBSE principles, requirements traceability, and system architecture.

Responsibilities

• Translate engineering requirements into accurate SysML v2 models with fidelity and traceability.
• Develop reference solutions and exemplar architectures using SysML v2 for AI evaluation benchmarks.
• Use MBSE tools to create, review, and validate SysML v2 models.
• Create, refine, and document rubrics to assess AI-generated SysML v2 models.

Skills

SysML v1

SysML v2 exposure

MBSE

Requirements interpretation

Tools

Cameo Systems Modeler

MagicDraw

Job description

Job Description

Role type: Contractor

Location: Remote

Commitment: Pay-per- task-based, variable/flexible hours (~15hrs/wk)

Project duration: ~ 4 weeks to 3 months

About the opportunity

micro1 is looking for experienced Model-Based Systems Engineering (MBSE) professionals with expertise in SysML v1 and exposure to SysML v2, or demonstrated hands‑on experience with SysML v2 modeling, to support a customer project focused on AI training and evaluation. In this role, you'll apply your systems engineering knowledge to develop reference models, assess AI-generated SysML v2 outputs, and establish clear standards for technical accuracy and model quality. Candidates may use suitable SysML modeling tools to create and evaluate system models. Experience with graphical or textual modeling approaches is welcome. Your expertise will help evaluate how effectively AI systems interpret engineering requirements, represent complex system architectures, and produce consistent, traceable models.

What you’ll do

• Interpret and translate engineering requirements into accurate SysML v2 models, emphasizing model fidelity and traceability.
• Develop reference solutions and exemplar system architectures using SysML v2 to serve as benchmarks for AI evaluation tasks.
• Use appropriate systems modeling tools to create, review, and validate SysML v2 models.
• Create, refine, and document evaluation rubrics to assess the quality and correctness of AI-generated SysML v2 models.
• Review, assess, and provide structured feedback on SysML v2 models, ensuring technical accuracy and adherence to modeling best practices.
• Analyze requirements, Concepts of Operations (ConOps), Interface Control Documents (ICDs), and architectural specifications to inform modeling efforts.
• Collaborate asynchronously through written and verbal communication to clarify project deliverables and resolve technical ambiguities.

Required qualifications

• Professional experience in systems engineering, with hands‑on expertise in SysML v1 and some exposure to SysML v2, or demonstrated experience with SysML v2 modeling.
• Ability to interpret engineering requirements and translate them into technically accurate system models.
• Understanding of model‑based systems engineering principles, requirements traceability, and system architecture.
• Experience working with systems modeling tools and applying MBSE methodologies to engineering projects.

Preferred qualifications

• Strong understanding of requirements engineering, system architecture, interface control, and model traceability.
• Experience using MBSE modeling tools such as Cameo Systems Modeler, MagicDraw, or other compatible systems modeling applications.
• Familiarity with SysML v2 modeling environments, including graphical or textual approaches.
• Experience working with ConOps, ICDs, and other foundational systems engineering documentation.
• Strong technical writing and communication skills, particularly in remote or asynchronous environments.
• Experience in complex engineering domains such as aerospace, space, defense, automotive, maritime, or communications.
• Familiarity with model verification, technical review, evaluation rubric development, or model quality assessment.
• Exposure to AI, machine learning, or data‑driven engineering projects.

Engagement details

• Contract type: Contractor engagement.
• Location: Remote.
• Work structure: Project or task-based, with variable hours depending on project needs.
• Duration: Initial pilot expected to last approximately 4 weeks to 3 months.

Application process

Application processCandidates will complete an AI interview as part of the application process.